Pregled bibliografske jedinice broj: 1221237
Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics
Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics // Energies, 11 (2018), 12; 127-142 doi:10.3390/en11123300 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1221237 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparison of Novel Approaches to the Predictive
Control of a DC-DC Boost Converter, Based on
Heuristics
Autori
Baždarić, Robert ; Vončina, Danjel ; Škrjanc, Igor
Izvornik
Energies (1996-1073) 11
(2018), 12;
127-142
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
switched affine systems ; hybrid systems ; fuzzy identification ; fuzzy modeling ; two degrees of freedom ; fuzzy model predictive control
Sažetak
This paper introduces novel approaches to the predictive control of a DC-DC boost converter and a comparison of the controllers built that consider all of the current objectives and minimize the complexity of the online processing. The primary concern is given to the applicability of the inclined methods for systems that are physically small but considered physically fast processes. Although the performed methodologies are simulated and applied to a DC-DC boost converter, they can have broader applicability for different switched affine systems as a subgroup of the hybrid systems. The introduced methods present an alternative way of building the process model based on the fuzzy identification that contributes to the final objective: the applicability of the predictive methods for fast processes.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Elektrotehnika, Računarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
